Free CompTIA Cloud+ CV0-003 Practice Test

Collecting data over a significant period of time and under different load conditions is essential to establish a meaningful baseline, which can be used to detect anomalies and plan for future capacity needs. Peaks in utilization may only be observed during specific times or events, and capturing data over an extended period ensures that occasional spikes are also included in the baseline. The other options are inadequate because they might not represent the full scope of the environment's performance characteristics. Analyzing only maximum resource utilization or a snapshot of performance at a given time does not provide comprehensive information necessary to establish a detailed baseline.

Vertical scaling, also known as 'scaling up', involves adding resources such as CPU and memory to an existing server or virtual machine. It does not require changing the application code or adding more instances, which distinguishes it from horizontal scaling, also known as 'scaling out', that involves adding more servers to handle the load. Elasticity refers to the automated process of scaling resources to match demand, but does not specify which type of scaling is used. Throughput optimization is not a scaling method but rather a concept of maximizing the rate of processing data.

Platform as a Service (PaaS) is the correct answer because it provides a platform allowing customers to develop, run, and manage applications without the complexity of building and maintaining the infrastructure typically associated with developing and launching an app. PaaS offers an environment to development teams with the tools and languages desired, without worrying about resource provisioning, capacity planning, software maintenance, patching, or any of the other undifferentiated heavy lifting involved in running the application.

Compression is a storage system feature that reduces the size of files, which conserves storage space and can reduce costs associated with data storage, especially for large media files intended for archival. Since these files are accessed infrequently, the compression process will not impact the performance of day-to-day operations, but will lower the overall storage needs. The other options do not specifically address the need to optimally utilize space for infrequently accessed large media files meant for long-term storage.

Monitoring the IOPS and throughput provides direct insight into the performance of storage devices, particularly in database-driven applications where the speed of read and write operations is crucial. If the IOPS and throughput are much lower than what the storage device is rated for during peak times, it is an indication that the storage device might be the bottleneck. Answer B about latest firmware is generally good practice, but it does not confirm whether the storage device is causing current performance issues. Answer C relating to checking the CPU does not directly address the suspicion of an I/O bottleneck. Answer D referencing VLAN configurations is unrelated to the direct assessment of storage device performance.

Federated identity services allow organizations to extend their on-premise user directories to cloud services, enabling single sign-on (SSO) and centralized management of user identities and permissions across heterogeneous environments. This is crucial for hybrid cloud setups that need to manage identities across on-premise systems and cloud services without duplicating identity stores.

'Cloud-only identity services' would not utilize the existing on-premise Active Directory, which does not support the scenario's requirement for integration. 'On-premise synchronization without any cloud integration' misses the need for cloud services integration and would not support a hybrid model. 'Multi-factor authentication' adds a layer of security but does not address the seamless integration of identity management between on-premise and cloud systems.

Core-based licensing refers to the practice where a cloud service provider charges based on the number of physical or virtual processor cores in the server. This model allows pricing to scale with the computing power allocated, which is important for services that have compute-intensive workloads. It is distinct from per-user models, which charge based on the number of users; and from socket-based, which relates to the number of CPU sockets in a server chassis.

The correct answer is a 'pay-as-you-go' subscription model because it allows the company to pay only for the resources they consume during each billing cycle. This model is appropriate for the enterprise since it experiences sporadic spikes in usage which don't justify a constant expense rate. A flat-rate subscription would not afford the desired cost-saving benefits during periods of low usage. A per-user license, while relevant for software that charges based on user access, may not offer the level of granularity required for cost savings in the case of infrequently accessed systems. A tiered model could introduce unnecessary complexity by having preset usage tiers, which may not align neatly with the enterprise's variable requirements.

Automated scaling services can rely on server naming conventions or specific tags to identify which instances should be scaled. When server names or tags change, the configuration (policies or rules) for automated scaling must be updated to match the new conventions. If this update is not performed, the scaling feature would fail to recognize the target servers for action. In this scenario, the automated scaling feature likely relies on specific server names or resource tags that were altered during the update, preventing it from functioning correctly. It is crucial when changing server names to also update any tags and scaling policies to reflect these changes. This ensures that services reliant on those identifiers continue to operate as expected.

The correct answer is GRE because it is designed to encapsulate a wide range of network layer protocols for transmission over an IP network, which is ideal for transmitting non-IP traffic. Unlike GRE, IPsec is primarily focused on secure IP traffic and does not inherently support the encapsulation of non-IP protocols. SSL/TLS generally secures application layer data for things like web traffic and does not operate at the network layer to encapsulate network layer protocols. L2TP does encapsulate traffic, but primarily for creating VPNs, it also tends to encapsulate PPP traffic over IP networks and does not have the same flexibility as GRE for multiple protocols.

Auto-scaling policies that adjust resources automatically in response to the web traffic provide the most effective means to handle varying load, such as peak usage times, ensuring that service availability is maintained without manual intervention. Workload distribution can enhance performance but may not automatically adjust to traffic spikes. A cold site provides a backup in case of a complete site failure and won't help with immediate traffic load. Biannual failover testing is important for disaster recovery preparedness but does not address the immediacy of peak load times.

Auto-scaling is the correct answer because it allows the compute resources to automatically adjust based on the load, which is particularly useful for applications with variable traffic. Oversubscription would not work well in this scenario because it could lead to insufficient resources during traffic spikes. Dynamic allocations and Simultaneous multi-threading (SMT) are related to distributing existing compute power, not scaling up or down with the load.

The correct answer is 'To provide system fault tolerance.' Implementing redundancy in cloud environments ensures that if one component fails, another can take over, thus maintaining the operation of the service without interruption. Redundancy is not primarily for data preservation, which is more closely achieved through backups and replication. It is not for load balancing, which distributes workloads across multiple computing resources, nor is it specifically for optimizing performance or reducing latency, which are secondary benefits in some redundant designs.

Reviewing the logs is the best first action to troubleshoot script execution issues. Logs typically hold detailed error information and can provide insight into what part of the script failed, enabling the identification of the root cause. Testing with increased permissions assumes there is a permission issue, which may not be the case; consulting with the script author is useful but should follow an initial investigation; and rewriting the entire script would be inefficient without knowing the exact cause of failure.

An agent-based intrusion detection system (IDS) operates on the host system and has direct access to host resources, which can lead to heightened system performance impact. In contrast, a network-based IDS monitors network traffic for suspicious activity at the network level, rather than on individual host systems, which is generally less intrusive to system performance while still maintaining security monitoring capabilities. Port scanners and vulnerability scanners are tools used for identifying potential vulnerabilities and are not typically deployed continuously, thus not the best options for ongoing traffic monitoring and malware protection.